2型糖尿病患者PPG预测模型的简化而精确的线性方程(GH-Method:数学-物理医学)

Ocimum Scientific Publishers Pty Ltd
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引用次数: 2

摘要

PPG贡献了约75%至80%的HbA1C。通过作者的糖尿病研究,他已经确定了至少19个与PPG形成相关的影响因素。他进一步利用8个影响因素和人工智能(AI)光学物理技术,开发了一款基于人工智能的血糖仪APP来预测PPG。无论涉及的因素是8个还是19个,对于患者来说,学习、理解或使用糖尿病控制是一项复杂的任务。在这些因素中,他在之前的出版物中指出,碳水化合物/糖的摄入量对PPG的贡献为38%,运动对PPG的贡献为41%。综上所述,这两个主要影响因素贡献了约80%的PPG形成[1-4]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Simplified yet Accurate Linear Equation of PPG Prediction Model for Type 2 Diabetes Patients (GH-Method: Math-Physical Medicine)
PPG contributes approximately 75% to 80% of HbA1C. Through the author’s diabetes research, he has identified at least 19 influential factors associated with PPG formation. He further utilized 8 influential factors and Artificial Intelligence (AI) optical physics technology to develop an AI-based Glucometer APP to predict PPG. Whether the involved factors are 8 or 19, it is a complicated task for patients to learn, understand, or use in terms of their diabetes control. Among those factors, as indicated in his previous publications, carbs/sugar intake amount contributes ~38% and exercise contributes ~41% of PPG. In summary, these two primary influential factors contribute ~80% of the PPG formation [1-4].
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